3 citations · 8 across the 6 of their papers we have counts for
5 papers · 1 filter
HIRE: A Hybrid Learned Index for Robust and Efficient Performance under Mixed Workloads
Xinyi Zhang, Liang Liang, Anastasia Ailamaki +1
Indexes are critical for efficient data retrieval and updates in modern databases. Recent advances in machine learning have led to the development of learned indexes, which model t…
The Cambridge Report on Database Research
Anastasia Ailamaki, Samuel Madden, Daniel Abadi +43
On October 19 and 20, 2023, the authors of this report convened in Cambridge, MA, to discuss the state of the database research field, its recent accomplishments and ongoing challe…
Declarative Concurrent Data Structures
Aun Raza, Hamish Nicholson, Ioanna Tsakalidou +3
Implementing concurrent data structures is challenging and requires a deep understanding of concurrency concepts and careful design to ensure correctness, performance, and scalabil…
Efficient Data Access Paths for Mixed Vector-Relational Search
Viktor Sanca, Anastasia Ailamaki
The rapid growth of machine learning capabilities and the adoption of data processing methods using vector embeddings sparked a great interest in creating systems for vector data m…
Optimizing Context-Enhanced Relational Joins
Viktor Sanca, Manos Chatzakis, Anastasia Ailamaki
Collecting data, extracting value, and combining insights from relational and context-rich multi-modal sources in data processing pipelines presents a challenge for traditional rel…